Understanding and representing hydrological processes is the basis for developing and improving hydrological and Earth system models. Modeling and learning is a symbiotic and continuous process through which our understanding of human-natural systems is formulated and tested constantly. As a result, a variety of models are developed and trained by quantitative and qualitative data across desired temporal and spatial scales.
In this session, we welcome contributions on the development of novel data sets and frameworks for model development and evaluation across spatio-temporal scales from catchment to continental scale hydrology. The vision of our session, following the initiative of 23 Unsolved Problems in Hydrology (UPH, https://doi.org/10.1080/02626667.2019.1620507), is to address three questions: What are the hydrologic laws at the catchment scale and how do they change with scale? How can hydrological models be adapted to be able to extrapolate to changing conditions, including changing vegetation dynamics? How can we disentangle and reduce model structural/parameter/input uncertainty in hydrological prediction?
We welcome contributions that (but not limited to):
(1) introduce new global and regional data products into the modeling process;
(2) introduce new approaches for model calibration and evaluation, especially to improve process representation, and/or to improve model predictions under changing conditions;
(3) improve model structure by representing often neglected processes in hydrological models such as human impacts, river regulations, irrigation, as well as vegetation dynamics;
(4) provide novel concepts for improving the characterization of internal and external model fluxes and their spatio-temporal dynamics;
(5) upscale experimentalists' knowledge from smaller to larger scale by identifying driving forces for spatial patterns for a better usage of them in models;
(6) suggest more effective monitoring and seamless modeling of spatial patterns in hydrology and land models using distributed earth observations;
(7) develop novel approaches and performance metrics for evaluating and constraining models in space and time; and
(8) identify model limitations and conceptual improvements that are of general relevance to the geosciences modeling community.
This session is organized as part of the grass-root modelling initiative on "Improving the Theoretical Underpinnings of Hydrologic Models" launched in 2016.
Activation of the text chat sets a cookie in your browser that is automatically deleted at the end of the conference.
The message "" (#) has been sent by nickname (#)
Mute the user:
Unmute the user:
Ban the user for 5 hours:
Unban the user:
An attendee might be able to create a new nickname and re-enter this chat. In case you have any questions or need further assistance please contact us at: firstname.lastname@example.org.
Handshake – who is here?
Nickname already in use
Nickname to be defined
How to access HS2.2.1
HS2.2.1 runs as a Zoom Webinar. The live session page on EGU21 allows you to:
- Enter the Zoom Webinar in a new browser tab through the button Access live video chat;
- Watch the livestream from the Zoom Webinar, if you prefer not to enter Zoom;
- Chat with colleagues being also on this live session page;
- Use the handshake to connect to colleagues being present in this session.
How to access HS2.2.1
Session HS2.2.1 runs as a vPICO session. Everybody, conveners/chair/speakers as well as attendees, join the live session page on EGU21. While attendees stay on this live session page and see the live presentations via stream, you as convener/chair/speaker are required to enter the BigBlueButton (BBB) live video chat to give your presentation.
Please keep the live session page open on this browser tab and join the BBB video chat in parallel on another browser tab through the button below. Your personal breakout text chat following the live presentations are linked from the live session page tab, not from the additional BBB video chat tab.Enter BBB video chat